Amazon EMR and Vertica operate in the cloud data processing and analytics domain. Amazon EMR seems to have the upper hand in integration and managed services, while Vertica shines in analytics and fast query performance.
Features: Amazon EMR provides auto-scaling, integration with AWS services, and ease of use for large-scale data processing. Vertica delivers impressive analytics capabilities, fast query processing, and high performance through its columnar storage architecture.
Room for Improvement: Amazon EMR could enhance user customization, monitoring tools, and reduce occasional versioning issues. Vertica lacks transactional processing support and could refine documentation and workload management.
Ease of Deployment and Customer Service: Amazon EMR is known for seamless public cloud integration, offering straightforward deployment with varied customer service experiences. Vertica requires careful deployment model consideration and generally receives positive customer service feedback.
Pricing and ROI: Amazon EMR's pricing, based on resource usage, is seen as variable with some viewing it as expensive. Vertica's pricing, though high, is deemed justified by its performance, with its perpetual license model offering competitive total cost of ownership.
They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.
Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.
Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.
There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.
Costs are involved based on cluster resources, data volumes, EC2 instances, instance sizes, Kubernetes, Docker services, storage, and data transfers.
Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.
OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.
OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.
What features define OpenText Analytics Database Vertica?OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
